“We also found systematic differences between the parties in the U.S., where Republican politicians were found to share untrustworthy websites more than nine times as often as Democratic politicians.”
We tend to blame the glut of disinformation in science on social media and the news, but the problem often starts with the scientific enterprise itself.
A new study finds that NewsGuard’s credibility ratings for news sites helped steer the most frequent consumers of misinformation towards more reliable outlets.
“If you are surrounded on all sides by information that seems to confirm this particular belief that you have, and every time you search for something you get information that confirms your beliefs, it would actually be illogical for you to say, ‘You know what, I reject this.'”
Lewandowsky, Stephan. "Algorithms, lies, and social media." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 7 Apr. 2022. Web. 12 May. 2023.
APA
Lewandowsky, S. (2022, Apr. 7). Algorithms, lies, and social media. Nieman Journalism Lab. Retrieved May 12, 2023, from https://www.niemanlab.org/2022/04/algorithms-lies-and-social-media/
Chicago
Lewandowsky, Stephan. "Algorithms, lies, and social media." Nieman Journalism Lab. Last modified April 7, 2022. Accessed May 12, 2023. https://www.niemanlab.org/2022/04/algorithms-lies-and-social-media/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2022/04/algorithms-lies-and-social-media/
| title = Algorithms, lies, and social media
| last = Lewandowsky
| first = Stephan
| work = [[Nieman Journalism Lab]]
| date = 7 April 2022
| accessdate = 12 May 2023
| ref = {{harvid|Lewandowsky|2022}}
}}
